Reliability of UAV in cut and fill calculation method / Muhamaad Fiddaus Ahsraf Rezuwan

Rezuwan, Muhamaad Fiddaus Ahsraf (2023) Reliability of UAV in cut and fill calculation method / Muhamaad Fiddaus Ahsraf Rezuwan. [Student Project] (Submitted)

Abstract

In this research paper, we investigated the earthwork processing methods for construction projects, specifically comparing the Unmanned Aerial Vehicle (UAV) method and the Global Navigation Satellite System (GNSS) method. The earthwork process, crucial in construction, involves moving the earth's surface to new positions, necessitating accurate estimates for efficient project planning. The rapid development in our world has heightened the importance of earthwork processing, particularly in roadway engineering decisions. Through our study, we found that the UAV method provided more consistent and accurate results compared to the GNSS method. The UAV method demonstrated closer agreement with Land Survey (LS) measurements for area, cut volume, and total volume, with differences ranging from 0.30% to 3.92%. Conversely, the GNSS method showed larger discrepancies in several measurements, raising concerns about its accuracy and reliability. Although the GNSS method offers broader coverage and surface area measurements, it requires further refinement. Our research emphasizes the UAV method's reliability, efficiency, and potential for future applications in earthwork calculations.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Rezuwan, Muhamaad Fiddaus Ahsraf
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
UNSPECIFIED
Mohd Salleh, Samsuri
UNSPECIFIED
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Geomatics
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying
Programme: Bachelor of Surveying Science and Geomatics (Hons.)
Keywords: earthwork processing methods, construction projects, Unmanned Aerial Vehicle (UAV), Global Navigation Satellite System (GNSS)
Date: August 2023
URI: https://ir.uitm.edu.my/id/eprint/87825
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